Genome-wide association studies generate extensive data, but interpreting these data remains challenging. A Bayesian-network-based method is presented that uses imputed and raw gene expression data to decipher the causal effects of individual genes.
- Liangying Yin
- Yaning Feng
- Hon-Cheong So
